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DTSTART:19700308T020000
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DTSTAMP:20181221T160730Z
LOCATION:D220
DTSTART;TZID=America/Chicago:20181114T111500
DTEND;TZID=America/Chicago:20181114T113000
UID:submissions.supercomputing.org_SC18_sess338_svs106@linklings.com
SUMMARY:The First Water in the Universe
DESCRIPTION:Scientific Visualization & Data Analytics Showcase\nVisualizat
 ion, Tech Program Reg Pass\n\nThe First Water in the Universe\n\nWiggins, 
 Samsel, Hoch, Abram, Gagliano...\n\nRecent work in the chemistry of molecu
 lar clouds in the early universe has found reactions that may create ancie
 nt water molecules that predate our Sun.   For these to take place, howeve
 r, particular conditions of molecular density and temperature must exist. 
  Water molecules will be destroyed by either high temperatures or when den
 sities are insufficient to shield them from UV rays.  Water molecules will
  only be created and persist in areas of the universe in which these prope
 rties are suitable, and will do so at different rates depending on local c
 onditions.\n\nWe present a combined a high resolution hydrodynamics simula
 tion of the early universe closely coupled with this hydroxyl and water-pr
 oducing chemistry model to determine how water molecules would be created 
 and distributed in space and time in the early universe.  By comparing the
 se simulation results to astronomical observations we can verify both the 
 hydrodynamic and chemical model of ancient water formation.\n\nThis work i
 s enabled by the computational power of today’s supercomputers and simulat
 ion technology.  The complexity of the chemistry model is significantly hi
 gher than that of simple hydrodynamics, making this a computationally inte
 nsive model.  Vast difference in scale of the physics involved, from the c
 osmological scale of the universe through the stellar scale of stars and n
 ovae to the molecular scale of chemical reactions requires that adaptive m
 esh refinement (AMR) techniques be used to provide resolution that varies 
 as demanded by the physics.  The visualizations presented herein will show
  the dynamics of the simulation as it evolves over time.
URL:https://sc18.supercomputing.org/presentation/?id=svs106&sess=sess338
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